Glioma grading using apparent diffusion coefficient map: Application of histogram analysis based on automatic segmentation

NMR in Biomedicine

Volumn 27, Issue 9, 2014, Pages 1046-1052

  Lee, Jeongwon ^a,b   Choi, Seung Hong ^c   Kim, Ji Hoon ^c   Sohn, Chul Ho ^c   Lee, Sooyeul ^b   Jeong, Jaeseung ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^c Seoul National University College of Medicine   (South Korea)

Author keywords

Apparent diffusion coefficient maps; Diffusion weighted MRI; Glioma; Grade

Indexed keywords

DIAGNOSIS; GRADING; GRAPHIC METHODS; MAGNETIC RESONANCE IMAGING; SURFACE DIFFUSION;

APPARENT DIFFUSION COEFFICIENT; APPARENT DIFFUSION COEFFICIENT MAPS; AREA UNDER THE ROC CURVE; DIFFUSION-WEIGHTED MRI; GLIOMA; HISTOPATHOLOGIC DIAGNOSIS; INTRA-OBSERVER VARIABILITY; RECEIVER OPERATING CHARACTERISTIC CURVES;

TUMORS;

GADOLINIUM PENTETATE MEGLUMINE;

ADULT; AGED; APPARENT DIFFUSION COEFFICIENT; AREA UNDER THE CURVE; ARTICLE; ASTROCYTOMA; AUTOMATION; CANCER GRADING; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; FEMALE; GLIOBLASTOMA; GLIOMA; HISTOGRAM; HUMAN; IMAGE ANALYSIS; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; ONCOLOGICAL PARAMETERS; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; REGION OF INTEREST; SINGLE DRUG DOSE; TUMOR DIAGNOSIS; TUMOR DIFFERENTIATION; TUMOR VOLUME; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; MIDDLE AGED; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; YOUNG ADULT;

ADULT; AGED; ALGORITHMS; BRAIN NEOPLASMS; DATA INTERPRETATION, STATISTICAL; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; GLIOMA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; NEOPLASM GRADING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84905921914     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.3153     Document Type: Article

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